Martin SchrimpfExpertise
NeuroAI, computational neuroscience, computer vision, natural language processing, human alignment, startups [CV]
Mission
Modeling the brain: Martin's research focuses on a computational understanding of the neural mechanisms underlying natural intelligence in vision and language. To achieve this goal, he bridges Deep Learning, Neuroscience, and Cognitive Science, building artificial neural network models that match the brain’s neural representations in their internal processing and are aligned to
Angela SteinauerSince 2022: Head of the Laboratory of Biomolecular Engineering and Nanomedicine (LIBN), EPFL (Switzerland)2019-2021: MSCA Postdoctoral Fellow at ETHZ (Switzerland)2018: Ph.D. in Chemical Biology from Yale University (USA)2007-2012: B.Sc. & M.Sc. in Chemistry from University of Zurich (Switzerland)
Teaching & PhD PhD Students Diogo Miguel De Abreu Viegas, Georges Barnikol, Oliver Dennis, Andrea Elizabeth Melgar Aguilar, Paula Oeser, Manutsawee Thanaburakorn Courses Advanced general chemistry I CH
Qiucheng XuExpertise
- Operando Water and Ion Transport: I pioneered operando high-energy X-ray scattering and fluorescence (WAXS/SAXS/XRF) to directly visualize water and ion transport in membrane–electrode assemblies. These studies revealed how water movement, flooding, and salt formation govern degradation in CO/CO2 electrolysis, establishing the dynamic transport mechanisms in confined electrochemical environments. (Nat. Nanotechnol. 2025; Joule 2024; Nat. Catal. 2023)2. Design of Membrane-Electrode Interface: I
Andrea VezzosiAndrea Vezzosi is a postdoctoral researcher in the group of Prof. Ursula Rothlisberger at the Institute of Chemical Sciences and Engineering, EPFL (Switzerland). He earned his Ph.D. in Physics and Nanosciences from the University of Modena and Reggio Emilia in 2024, where he investigated spin–orbit coupling and topological states in core–shell semiconductor nanowires. During his doctoral studies, he developed nwkp, an open-source Python library for computing the band structure of core–shell nanowires using
Michael HerbstExpertise
For more information about our research, see https://matmat.org/research/.
Teaching & PhD PhD Students Niklas Frederik Schmitz, Anna Paulish, Bruno Ploumhans, Benedikt Menges Courses Error control in scientific modelling MATH-500 Errors are ubiquitous in computational science as neither models nor numerical techniques are perfect. With respect to eigenvalue problems motivated from materials science and atomistic modelling we discuss, implement and apply numerical techniques for e Keivan Faghih NiresiExpertise
Computational sensing/imaging, Inverse problems, Signal processing, Graph neural networks, Domain adaptation.
Keivan is a PhD student at école Polytechnique Fédérale de Lausanne (EPFL). He joined the Intelligent Maintenance and Operations Systems (IMOS) Lab under the supervision of Prof. Olga Fink in February 2023.Prior to joining EPFL, he obtained his master's degree from the Institute of Communications Engineering, College of Electrical Engineering and Computer Science, National Tsing Hua Univer
Daryl Yee Wei LiangIncoming Assistant Professor of Electrical and Microengineering (March 2023)
Andrea CavalliTeaching & PhD PhD Students Alessia Ghidini Courses Drug Discovery CH-630 The course gives an overview of drug discovery. Computational methods in drug design and discovery, including methods for free energy and residence time, drug-target interactions, pharmacodynamics, pharmacokinetics, and drug delivery,biophysical methods, interaction including ITC, SPR, MST, and NMR.
Francesco ArmillottaExpertise
Surface Science, Scanning Tunneling Microscopy, Desorption Spectroscopy, Heterogeneous Catalysis, Sum Frequency Generation Spectroscopy
I am presently a Postdoc in the Laboratory of Nanostructures at Surfaces (LSN) group, interested in the catalytic properties of surface-confined (sub)nano-structures. Education PhD | 2019 – 2023 University of Trieste
Teaching & PhD Courses Solid state physics PHYS-337 This lecture gives an introduction to Solid State Physics. We
Zhengmao LuExpertise
liquid-vapor phase change, thermofluids, micro/nanoenegineering
Education Ph.D. | Mechanical Engineering 2014 – 2018 Massachusetts Institute of Technology M.S. | Mechanical Engineering 2012 – 2014 Massachusetts Institute of Technology B.S. | Mechanical Engineering 2008 – 2012 Tsinghua University, Beijing
Teaching & PhD PhD Students Igor Reshetnikov, Gautier Rouaze, Takehiro Shiraishi, Farkhondeh Khodabandeh, Léo Mutschler Courses Liqui
